Results 51 to 60 of about 16,800,197 (383)

Book review of “Here, there, everywhere—A memoir” by Peter Almond

open access: yes, 2022
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022.
Bruce J. Gerbi
wiley   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

The relative value of Pre-Implementation stages for successful implementation of evidence-informed programs

open access: yesImplementation Science, 2023
Background Most implementations fail before the corresponding services are ever delivered. Measuring implementation process fidelity may reveal when and why these attempts fail.
Zoe M. Alley   +3 more
doaj   +1 more source

Augmented Q Imitation Learning (AQIL) [PDF]

open access: yesarXiv, 2020
The study of unsupervised learning can be generally divided into two categories: imitation learning and reinforcement learning. In imitation learning the machine learns by mimicking the behavior of an expert system whereas in reinforcement learning the machine learns via direct environment feedback.
arxiv  

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

open access: yesMolecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker   +14 more
wiley   +1 more source

Learning to learn

open access: yesEDUCATION SCIENCES AND SOCIETY, 2019
In questo lavoro presentiamo le iniziative dell’Ateneo Perugina nell’ottica della promozione dell’innovazione didattica in ambito universitario e, in particolare, l’esperienza di progettazione, implementazione e diffusione di un corso in self-paced rilasciato ai (circa) 1000 docente dell'universita con l'obiettivo di introdurli agli strumenti di base ...
Gianluca Vinti   +3 more
openaire   +3 more sources

Learning Deep Learning

open access: yesRevista Brasileira de Ensino de Física, 2022
As a consequence of its capability of creating high level abstractions from data, deep learning has been effectively employed in a wide range of applications, including physics. Though deep learning can be, at first and simplistically understood in terms of very large neural networks, it also encompasses new concepts and methods. In order to understand
Arruda, Henrique F. de   +3 more
openaire   +4 more sources

Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors

open access: yesMolecular Oncology, EarlyView.
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi   +6 more
wiley   +1 more source

Mathematics and Science Courses Required or Recommended for Admission into Engineering and Engineering Technology Programs at Massachusetts Institutions of Higher Education

open access: yesNonpartisan Education Review, 2019
This survey of the high school mathematics and science requirements for admission to the 11 colleges of engineering in Massachusetts in 2003 provides interesting facts in Tables 3 and 4.
Center for Teaching and Learning
doaj  

NanoCMSer: a consensus molecular subtype stratification tool for fresh‐frozen and paraffin‐embedded colorectal cancer samples

open access: yesMolecular Oncology, EarlyView.
Consensus molecular subtypes (CMS1‐4) have been identified to study colorectal cancer heterogeneity and serve as potential biomarkers. In this study, we developed and evaluated NanoCMSer, a NanoString‐based classifier using 55 genes, optimized for FF and FFPE to facilitate the clinical evaluation of CMS subtyping.
Arezo Torang   +10 more
wiley   +1 more source

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